摘要
提出一种新的折息递推PLS(DRPLS)算法 .通过对折息因子的调节 ,使模型具有更高的灵活性和适应性 .克服传统PLS算法不能在线更新 ,普通RPLS算法无法克服“数据饱和”、可调参数少和缺乏灵活性的不足 .并将其成功运用于橡胶密炼质量控制中 ,满足了混炼过程控制对门尼黏度预测模型灵活性和精确性的特殊要求 ,获得了具有足够精度和可调节性的混炼胶门尼黏度预测模型 。
To overcome the shortcoming of the traditional PLS algorithm, a discounted-measurement recursive PLS (DRPLS) algorithm was proposed to build prediction model of the Mooney-viscosity of rubber mixture. This improved RPLS model could be on-line updated with new data, and more adjustable parameters are available. The rubber-mixing process is a typical non-linear batch process with very short operation time, and the rigorous mixing mechanism is not well developed. The Mooney-viscosity of the mixture is the key factor that has great effect on the quality of rubber products. By this developed DRPLS algorithm, a highly precise and flexible Mooney-viscosity model could be built. Application results confirm superior predictive precision of the developed approach.
出处
《化工学报》
EI
CAS
CSCD
北大核心
2004年第6期942-946,共5页
CIESC Journal
基金
国家自然科学基金 (No 2 0 2 0 60 2 8)
青岛市工业信息化技术重点实验室基金共同资助~~
